Diagnosis of experimental data indicates that differences between theory and data may be explained through statistical analysis of error sources.
To address this discrepancy between theory and data, we study a simple, but general, model that explicitly focuses on the dynamics of consensus building in groups composed by individuals who are heterogeneous in preferences, certain personality traits (agreeability and persuasiveness), reputation, and social networks.
It also connects this issue with a number of other relevant issues, such as the general relationship between theory and data, the validation of models, and the practical benefits of computational modeling.
These findings suggest a reconciliation between theory and data, and they underscore the conceptual importance of elucidating the full range of causal linkages between SES and delinquency.
First, the specific variables considered for our empirical analysis that will be presented below is the product of a compromise between theory and data availability.
Drawing upon recent theoretical innovations (Hagan et al., 1985; Jensen, 1993; Tittle, 1995), we propose that this apparent contradiction between theory and data may be reconciled by recognizing that SES has both a negative and a positive indirect effect upon delinquency that, in tandem, results in little overall correlation between the two.
The relationship between computer simulations and experiment, between theories and data, and the role of models in modern particle physics are scientific issues.
Showing the theoretical curve superimposed on field data in this way illustrates the remarkable fit between theory and field data.
Excellent agreement is found between theory and experimental data.
Structural equation modeling was used to provide a consistency check between theory and empirical data.
We have found a good agreement between theory and experimental data although the Qs/E and Cs/E curves obtained from chronopotentiometric techniques are more suitable than those corresponding to cyclic voltammetry.
